# Machine-Learning
* [In English](https://github.com/Jack-Cherish/Machine-Learning/blob/master/README-eng.md "悬停显示")<br>
原创文章每周最少两篇,**后续最新文章**会在[【公众号】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)首发,视频[【B站】](https://space.bilibili.com/331507846)首发,大家可以加我[【微信】](https://cuijiahua.com/wp-content/uploads/2020/05/gzh-w.jpg)进**交流群**,技术交流或提意见都可以,欢迎**Star**!
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### 文章首发声明
* 文章在自己的公众号和个人网站首发,其他平台文章均属转发,如想获得最新更新进展,欢迎关注我的个人网站:http://cuijiahua.com/
## 第二章:kNN(k-邻域算法)
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(一):k-近邻算法(史诗级干货长文) | [个人网站](http://cuijiahua.com/blog/2017/11/ml_1_knn.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/75172850 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28656126 "悬停显示") |
### 代码
* [1.简单k-NN](https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/1.%E7%AE%80%E5%8D%95k-NN "悬停显示")
* [2.海伦约会](https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/2.%E6%B5%B7%E4%BC%A6%E7%BA%A6%E4%BC%9A "悬停显示")
* [3.数字识别](https://github.com/Jack-Cherish/Machine-Learning/tree/master/kNN/3.%E6%95%B0%E5%AD%97%E8%AF%86%E5%88%AB "悬停显示")
## 第三章:Decision Tree(决策树)
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(二):决策树基础篇之让我们从相亲说起 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_2_decision_tree_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/75663451 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28688281 "悬停显示") |
| Python3《机器学习实战》学习笔记(三):决策树实战篇之为自己配个隐形眼镜 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_3_decision_tree_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/76262487 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28714382 "悬停显示") |
### 代码
* [1.贷款预测](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Decision%20Tree.py "悬停显示")
* [2.隐形眼镜](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Decision%20Tree/Sklearn-Decision%20Tree.py "悬停显示")
## 第四章:Navie Bayes(朴素贝叶斯)
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(四):朴素贝叶斯基础篇之言论过滤器 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_4_bayes_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/77341116 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28719332 "悬停显示") |
| Python3《机器学习实战》学习笔记(五):朴素贝叶斯实战篇之新浪新闻分类 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_5_bayes_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/77500679 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28720393 "悬停显示") |
### 代码
* [1.言论过滤器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes.py "悬停显示")
* [2.垃圾邮件过滤器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/bayes-modify.py "悬停显示")
* [3.新浪新闻分类器](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Naive%20Bayes/nbc.py "悬停显示")
## 第五章:Logistic(Logistic回归)
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(六):Logistic回归基础篇之梯度上升算法 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_6_logistic_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/77723333 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/28922957 "悬停显示") |
| Python3《机器学习实战》学习笔记(七):Logistic回归实战篇之预测病马死亡率 | [个人网站](http://cuijiahua.com/blog/2017/11/ml_7_logistic_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/77851973 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/29073560 "悬停显示") |
### 代码
* [1.Logistic基础训练](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/LogRegres.py "悬停显示")
* [2.改进的随机梯度上升算法](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/LogRegres-gj.py "悬停显示")
* [3.病马死亡率预测](https://github.com/Jack-Cherish/Machine-Learning/blob/master/Logistic/colicLogRegres.py "悬停显示")
## 第六章:SVM(支持向量机)
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(八):支持向量机原理篇之手撕线性SVM | [个人网站](http://cuijiahua.com/blog/2017/11/ml_8_svm_1.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/78072313 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/29604517 "悬停显示") |
| Python3《机器学习实战》学习笔记(九):支持向量机实战篇之再撕非线性SVM | [个人网站](http://cuijiahua.com/blog/2017/11/ml_9_svm_2.html "悬停显示") | [CSDN](http://blog.csdn.net/c406495762/article/details/78158354 "悬停显示") | [知乎](https://zhuanlan.zhihu.com/p/29872905 "悬停显示") |
### 代码
* [1.简化版SMO算法](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-simple.py "悬停显示")
* [2.完整版SMO算法](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-smo.py "悬停显示")
* [3.非线性SVM](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svmMLiA.py "悬停显示")
* [4.Sklearn SVC手写数字识别](https://github.com/Jack-Cherish/Machine-Learning/blob/master/SVM/svm-svc.py "悬停显示")
## 第七章:AdaBoost
| 文章 | 个人网站 | CSDN | 知乎 |
| :------ | :--------: | :--------: | :--------: |
| Python3《机器学习实战》学习笔记(十):提升分类器性能利器-AdaBoost | [个人网站](http://cuijiahua.com/b
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机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归.zip (2000个子文件)
Glossary.md 28KB
README.md 11KB
README-eng.md 10KB
Decision Tree.py 13KB
svmMLiA.py 11KB
svm-digits.py 10KB
svm-smo.py 9KB
svm-simple.py 7KB
regTrees.py 7KB
ROC.py 6KB
adaboost.py 6KB
horse_adaboost.py 6KB
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kNN_test01_old_method.py 2KB
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horseColicTest2.txt 13KB
ex0.txt 5KB
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